Based on the results of the official methodology for multidimensional poverty measurement in Mexico, the CONEVAL estimates that, in 2008, 11.8 million family women, who represented 11.1 percent of the total population, were in multidimensional poverty. Among them, 2.8 million were in extreme multidimensional poverty. Likewise, 9 million family women were vulnerable due to social deprivation and 1.5 million were vulnerable due to income. In that same year, the total of family women not considered multidimensional poor nor vulnerable was 6 million.

The average number of social deprivations mothers in multidimensional poverty in 2008 had, was 1.8, and they were classified as follows: 33.6 percent had educational gap; 36.1 percent had no access to healthcare; 54.8 percent had no access to social security; 15.4 percent had deprivation in the quality and spaces at home; 17.3 percent had no access to basic services at home; and 20.6 percent had no access to food.

Out of the 11.8 million family women in multidimensional poverty, 2.3 were heads of household.

Overall, we see mothers had slightly a lower percentage of multidimensional poverty than the total population; however, this trend does not prevail regarding the levels of social deprivations. For example, 21 percent of the total population has educational gap, this percentage reaches 33.6 percent in the case of family women, and the educational gap is even greater among mothers who are heads of household (41.8 percent).

At state level, the entities concentrating the greatest percentage of family women in multidimensional poverty conditions were the following: Chiapas with 74.3 percent, Guerrero with 64 percent, Puebla with 61.2 percent, Oaxaca with 59 percent and Tlaxcala with 57.8 percent.

The CONEVAL published the official methodology for the measurement of multidimensional poverty in Mexico in December 2009, and to make its calculations it uses information by the National Household Income and Expense Survey 2008 Socioeconomic Conditions Module issued by the National Statistics and Geography Institute (INEGI).